2020 September
Ooops... with all the various things going on I forgot to do the September summary. Slight change to the methodology this month (rather than calculating the hourly median for each sensor then taking the median of those I am directly calculating the median hourly temperature from all of the relevant sensors)... Percentage of hours in below, within, above the 20 - 25 °C target temperature range for the month. Inside / Outside % < 20 °C % 20 - 25 °C % > 25 °C inside 7% 91% 2% outside 80% 15% 5% Methods: I have taken the 5 minutely data from the wirelessTag sensors and calculated the median temperature for each hour and determined the proportion of hours falling inside of the 20 - 25 °C target temperature (using the R functions 'aggregate' and 'hist'). Inside includes data from 12 wirelessTag sensors spread across every room of the house. Outside is the data from the wirelessTag sensors outside near the cubby house and HRV intake. The water wall, cleres